



An end-to-end analysis of Harry’s sales data using Python Pandas and Power BI, summarized into a presentation for stakeholders.

Scrape the contents of American Express’ career site with Python’s Selenium library.

Reads the content off of paper receipts, groups the item and price via clustering, passes the content to a ChatGPT API call for data cleaning, then writes the receipt data to a Postgres data table.

Examine the quality of source data by checking for data completeness, data inconsistencies, and more.

Predict future market movements via additive regression in Facebook’s Prophet library. An analysis in R.
